Alternatives and similar repositories for Tensorflow-EchoStateNetwork:

Users that are interested in Tensorflow-EchoStateNetwork are comparing it to the libraries listed below

• cknd / pyESN
  Echo State Networks in Python
  ☆304Updated 4 years ago
• alexander-rakhlin / ESN
  Echo State Networks
  ☆40Updated 9 years ago
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆118Updated 5 years ago
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆217Updated last year
• sylvchev / simple_esn
  simple Echo State Networks integrated with scikit-learn
  ☆26Updated 5 years ago
• tomrunia / ClockworkRNN
  Clockwork RNN in TensorFlow
  ☆61Updated 6 years ago
• francesco-mannella / Echo-State-Networks
  Echo State Networks with TensorFlow
  ☆37Updated 4 years ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆134Updated 4 years ago
• philipperemy / tensorflow-phased-lstm
  Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
  ☆128Updated 6 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆145Updated 4 years ago
• phvu / grid-lstm-tensorflow
  Examples of using GridLSTM (and GridRNN in general) in tensorflow
  ☆63Updated 7 years ago
• dlarsen5 / AdaptiveSFM
  Adaptive State-Frequency Memory Recurrent Neural Network
  ☆25Updated last year
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 7 years ago
• PanDav2 / Clockwork-RNN
  This repository is a reproduction of the clockwork RNN paper.
  ☆20Updated 8 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆39Updated 8 years ago
• philipperemy / tensorflow-grid-lstm
  Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
  ☆28Updated 7 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• pusj / LSTM-Time-Series-Analysis-using-Tensorflow
  LSTM Time Series Analysis using Tensorflow
  ☆40Updated 7 years ago
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆78Updated 6 months ago
• mpstewart1 / EchoStateNetworks
  Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
  ☆49Updated 4 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆112Updated 5 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆54Updated 8 years ago
• FilippoMB / Bidirectional-Deep-readout-Echo-State-Network
  Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
  ☆25Updated 2 years ago
• nsfinkelstein / hierarchical-rnn
  Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
  ☆135Updated 7 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 6 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆70Updated 3 years ago
• JosvanderWesthuizen / janet
  Code for the forget-only version of the LSTM in the paper "The unreasonable effectiveness of the forget gate"
  ☆29Updated 6 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago